Download or read book Stochastic modelling of water consumption process and forecasting of water demand in towns written by Zbigniew Siwoń and published by . This book was released on 1986 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Water Demand Modelling written by Mirjam Blokker and published by IWA Publishing. This book was released on 2011-09-19 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Water quality processes in the drinking water distribution network are strongly influenced by the flow velocity and residence time of the water in the network. In order to understand how the water quality changes in the drinking water distribution network, a good understanding of hydraulics is required. Specifically in the periphery of the network, where customers are connected, the hydraulics can change rapidly. During the night time the water is almost stagnant and the residence time increases. In the morning, when everybody gets up and flushes the toilet and takes a shower, high flow velocities can occur. During the remainder of the day flow velocities are low. The stochastic endues model SIMDEUM was developed to simulate water use on a small time scale (1 s) and small spatial scale (per fixture). SIMDEUM enables a good model of flow velocities, residence times and the connected water quality processes in the water distribution network. Stochastic Water Demand Modelling: Hydraulics in Water Distribution Networks describes the requirements of hydraulics in water quality modelling and provides insight into the development of detailed residential and non-residential water demand models. The book illustrates the use of detailed demand models in water quality models with respect to the variation in residence times and the relation with particle accumulation and resuspension. The models are compared to measurements in several real drinking water distribution networks.
Download or read book Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization written by J.B. Marco and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise. A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management. The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems. (abstract) Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objectives The current global environmental crisis has reinforced the need for developing flexible mathematical models to obtain a better understanding of environmental problems so that effective remedial action can be taken. Because natural phenomena occurring in hydrology and environmental engineering usually behave in random and probabilistic fashions, stochastic and statistical models have major roles to play in the protection and restoration of our natural environment. Consequently, the main objective of this edited volume is to present some of the most up-to-date and promising approaches to stochastic and statistical modelling, especially with respect to groundwater and surface water applications. Contents As shown in the Table of Contents, the book is subdivided into the following main parts: GENERAL ISSUES PART I PART II GROUNDWATER PART III SURFACE WATER PART IV STOCHASTIC OPTIMIZATION PART V MOMENT ANALYSIS PART VI OTHER TOPICS Part I raises some thought-provoking issues about probabilistic modelling of hydro logical and environmental systems. The first two papers in Part I are, in fact, keynote papers delivered at an international environmetrics conference held at the University of Waterloo in June, 1993, in honour of Professor T. E. Unny. In his keynote pa per, Dr. S. J. Burges of the University of Washington places into perspective the historical and future roles of stochastic modelling in hydrology and environmental engineering. Additionally, Dr. Burges stresses the need for developing a sound scien tific basis for the field of hydrology. Professor P. E.
Download or read book Stochastic Modeling for Water Quality Management written by Richard G. Krutchkoff and published by . This book was released on 1971 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Modeling for Water Consumption written by Tuo Shi and published by . This book was released on 2006 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Multistructural Demand Model for Water Requirement Forecasting written by George William Reid and published by . This book was released on 1970 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Time Series Modelling of Water Resources and Environmental Systems written by K.W. Hipel and published by Elsevier. This book was released on 1994-04-07 with total page 1053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.
Download or read book Spatial temporal Statistical Modeling of Treated Drinking Water Usage written by Ernesto Arandia and published by . This book was released on 2013 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In essence, modern drinking water distribution systems (DWDSs) exist to continuously satisfy the demand of their users while complying with water quality regulations. It stands to reason that the tasks of quantifying, estimating, and forecasting water consumption are critical components of resource management, planning and operation in the urban water industry. Yet, due to the complex stochastic nature of water demands, such important tasks are typically performed in an oversimplified deterministic manner which at best produces conservative results. Of critical inter- est, therefore, is the adoption of quantitative methods and technologies for accurately estimating and forecasting water consumption. The concomitant benefits may include the reduction of energy costs, residence times, pressure, and leakage in the DWDS through the optimal operation of pumps, reservoirs, and supply.Computational models of DWDSs have widely been developed by water utilities and researchers and applied mainly in design and offline analyses. It is clear that the industry and research com- munity recognize the usefulness of hydraulic models as tools to analyze the complex interaction among the generally massive number of system's components. Significant efforts are sometimes devoted to the refinement of the models to ensure their parameters reflect reality as close as possi- ble. Curiously, however, the parameters that most greatly influence the model's behavior, i.e., the water demands, are normally overlooked. It is not uncommon to assume a single arbitrary daily pattern for the totality of the nodes in a network model. This research considers that a more valid approach is to combine a reliable hydraulic model of a DWDS with realistic stochastic models of water use developed from fine-resolution consumption data. The intent is to abandon the time-pattern paradigm and take benefit of the opportunity to ac- cess large volumes of automatic meter reading (AMR) data at the level of the individual consumer which are expected to increasingly become available in the water industry. Methodologies that may be applied in offline and online estimation of water consumption are presented. On the one hand, a stochastic model structure for synthetic generation of demands is studied which may be used in producing individual consumer as well as nodal demands in a hydraulic network model. The method comprises a parameterization that intends to represent the native characteristics of the data. On the other hand, methodologies to estimate and forecast nodal demands are proposed consistent with a real-time approach. One of the contributions of this work is the development of an AMR database which is made available to the public. The data provides access to water consumption measurements from an unprecedented number of users of different categories over an extended period of time. Data of such type is expected to increase in the near future, therefore, the database may be a useful test bed for algorithms that incorporate highly disaggregated measurements of water use in DWDSs. Another contribution is the adoption of models for synthetic generation of demands that vary peri- odically and resemble real AMR demands. In addition, this research examines different models to forecast water demand aggregated at useful scales. Finally, it applies the findings to estimate and forecast water consumption in a network zone and in real time. The method proposed is extensively assessed and compared against a conventional approach to forecast demands.
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: International experts from around the globe present a rich variety of intriguing developments in time series analysis in hydrology and environmental engineering. Climatic change is of great concern to everyone and significant contributions to this challenging research topic are put forward by internationally renowned authors. A range of interesting applications in hydrological forecasting are given for case studies in reservoir operation in North America, Asia and South America. Additionally, progress in entropy research is described and entropy concepts are applied to various water resource systems problems. Neural networks are employed for forecasting runoff and water demand. Moreover, graphical, nonparametric and parametric trend analyses methods are compared and applied to water quality time series. Other topics covered in this landmark volume include spatial analyses, spectral analyses and different methods for stream-flow modelling. Audience The book constitutes an invaluable resource for researchers, teachers, students and practitioners who wish to be at the forefront of time series analysis in the environmental sciences.
Download or read book A Water Demand Model for Intermediate Urban Areas written by Michael Thomas Savage and published by . This book was released on 1978 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Impacts of Projected Climate Change on Urban Water Use written by Trevor C. Hughes and published by . This book was released on 1994 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Urban Water Forecasting Model written by Kevin Calandri and published by . This book was released on 1987 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic and Statistical Methods in Hydrology and Environmental Engineering written by Keith W. Hipel and published by Springer Science & Business Media. This book was released on 1994 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrefaceDedicationAcknowledgementsPart I: General Issues Part II: GroundwaterPart III: Surface WaterPart IV: Stochastic Optimization. Part V: Moment AnalysisPart VI: Other TopicsAuthor IndexSubject Index
Download or read book Stochastic Approaches to Water Resources written by Hsieh Wen Shen and published by . This book was released on 1976 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: General overview of application of stochastic methods to water resources problems; Structure of natural hydrologic time processes; Structure of water use time series; Generation of hydrologic and water resources samples; Data collection, analysis and instrumentation; Long-range changes; Application of stochastic methods in water resources studies; Risk and uncertainty as objectives in water resources; Optimization and uncertainty; Water resources planning; Application of statistical decision theory; Parameter regionalization and network design; Worth of data; Some remarks on the statistical theory of extreme values; Stochastic structure of the local pattern of precipitation; Floods and droughts; Reservoir planning and operation; Stochastic models for reservoir design; Urban stormwater management; Statistical application in groundwater systems; Watershed sediment yield; Simulation of velocity distribution and mass transfer...
Download or read book An Evaluation of the Decision Process in Water Resource Project Design written by Ray K. Linsley and published by . This book was released on 1969 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysis Modeling and Forecasting of Stochastic Water Quality Systems written by Eugene Stanley Lee and published by . This book was released on 1972 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:
